Triple

T12318442
Position Surface form Disambiguated ID Type / Status
Subject Aquifoliales E293664 entity
Predicate hasTypeGenus P5980 FINISHED
Object Ilex E973301 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ilex | Statement: [Aquifoliales, hasTypeGenus, Ilex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilex
Context triple: [Aquifoliales, hasTypeGenus, Ilex]
  • A. Ilex chosen
    Ilex is a large genus of evergreen and deciduous shrubs and trees commonly known as hollies, valued for their glossy leaves and bright red berries.
  • B. Sciadopitys
    Sciadopitys is a unique, ancient conifer genus best known for the Japanese umbrella pine, a slow-growing ornamental tree endemic to Japan.
  • C. Thuja
    Thuja is a genus of evergreen coniferous trees and shrubs commonly known as arborvitae, widely used in ornamental landscaping and hedging.
  • D. Reynoutria
    Reynoutria is a genus of flowering plants in the knotweed family Polygonaceae, best known for invasive species such as Japanese knotweed.
  • E. Myrica faya
    Myrica faya is an evergreen shrub or small tree native to Macaronesia, known for its dense foliage, small edible berries, and role in laurel forest ecosystems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346a3f34819091882004ab558347 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.